the agentic mentor
Meet SAM — the mentor that teaches back.
SAM is an agentic AI tutor that can use course context, persist supported assessment results, and teach on a live visual workspace.
the anatomy of a mentor
Four faculties, one agent.
What separates SAM from a search box: it doesn’t just answer. It perceives, remembers, reasons pedagogically, and acts — the loop a real tutor runs.
perception
It sees what you write
Vision reads your handwriting and sketches on the board, so SAM responds to your actual attempt — not a multiple-choice proxy.
memory
Assessment history persists
Supported formal assessments can update mastery estimates that remain available between sessions.
pedagogy
It knows how people learn
Bloom’s taxonomy, Bayesian knowledge tracing and spaced repetition decide what comes next — pedagogy, not guesswork.
agency
It acts on its own
SAM draws, narrates, schedules reviews and nudges you when it senses struggle — before you have to ask.
how SAM thinks
One loop, running continuously.
Supported assessment and review interactions can feed the same cycle, so your results shape what SAM recommends next, while keeping the scope of each stored result explicit.
- 01
Assess
Exams and Socratic checks read what you actually understand.
- 02
Model you
A persistent student model updates — mastery, gaps, confidence.
- 03
Track mastery
Bayesian mastery and Bloom’s depth move per concept, per attempt.
- 04
Recommend next
SAM proposes the next concept, review, or challenge — calibrated to you.
what SAM can do
Capabilities, not party tricks.
The Board Tutor
Teaches on a living whiteboard — sketching diagrams, writing equations, and narrating each step out loud.
Mastery tracking
Supported formal assessments can update a Bayesian mastery estimate.
Spaced repetition
An SM-2 schedule resurfaces each concept right before you’d forget it.
Bloom’s progression
Work is graded by cognitive depth — Remember through Create — not just right or wrong.
Proactive nudges
SAM watches for struggle and offers help before you have to ask for it.
Adaptive assessment
Exams in three modes — traditional, adaptive (IRT/CAT) and Socratic — with diagnostic, misconception-aware grading.
under the hood
Built on frontier models — with a fallback if one blinks.
SAM routes each task to the right model and falls back automatically if a provider fails. Vision-capable where it counts, so it can actually read what you draw on the board.
- Anthropic Claude
- Google Gemini
- OpenAI
- DeepSeek
- Mistral
Let SAM teach you something.
Pick one thing you want to understand. SAM handles the board, the memory, and the next step.